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DALY rates from injuries

Age-standardized DALY (Disability-Adjusted Life Year) rates per 100,000 individuals from injuries (including violence, conflict, and self-harm). DALYs are used tomeasure total burden of disease - both from years of life lost and years lived with a disability. One DALY equals one lost year of healthy life.

Age-standardized DALYs from injuries per 100,000 people DALYs per 100,000
Country/area
1990
2021
Absolute Change
Relative Change
Afghanistan11,161.413,651.1+2,489.7+22%
Albania4,048.62,204.7-1,843.9-46%
Algeria5,367.32,528.0-2,839.3-53%
American Samoa3,300.02,844.9-455.1-14%
Andorra2,972.92,019.5-953.4-32%
Angola11,050.44,730.7-6,319.7-57%
Antigua and Barbuda2,803.51,812.2-991.4-35%
Argentina3,992.92,736.8-1,256.1-31%
Armenia4,752.62,201.3-2,551.3-54%
Australia3,525.62,322.3-1,203.4-34%
Austria3,755.71,874.6-1,881.2-50%
Azerbaijan4,128.91,930.8-2,198.2-53%
Bahamas4,451.93,913.3-538.6-12%
Bahrain3,138.81,671.6-1,467.2-47%
Bangladesh4,592.31,861.4-2,730.9-59%
Barbados2,814.52,020.6-793.9-28%
Belarus6,031.73,480.0-2,551.7-42%
Belgium3,676.92,316.4-1,360.4-37%
Belize4,588.43,832.8-755.6-16%
Benin4,719.33,565.1-1,154.2-24%
Bermuda2,808.11,422.3-1,385.8-49%
Bhutan4,022.02,534.5-1,487.6-37%
Bolivia6,605.53,232.0-3,373.5-51%
Bosnia and Herzegovina3,922.71,970.0-1,952.7-50%
Botswana4,170.53,393.7-776.8-19%
Brazil5,782.34,028.1-1,754.2-30%
Brunei4,153.52,108.2-2,045.4-49%
Bulgaria4,920.42,748.5-2,171.9-44%
Burkina Faso5,959.24,905.7-1,053.5-18%
Burundi5,861.74,528.3-1,333.4-23%
Cambodia5,936.03,506.2-2,429.8-41%
Cameroon4,529.13,949.3-579.8-13%
Canada3,065.61,926.0-1,139.6-37%
Cape Verde3,300.83,078.3-222.5-7%
Central African Republic9,937.89,268.9-668.9-7%
Chad5,034.74,937.2-97.5-2%
Chile4,859.72,565.7-2,294.1-47%
China5,354.92,284.2-3,070.7-57%
Colombia8,247.23,640.4-4,606.8-56%
Comoros4,933.83,743.1-1,190.7-24%
Congo7,364.64,519.3-2,845.4-39%
Cook Islands4,133.02,301.0-1,832.0-44%
Costa Rica3,410.23,094.3-316.0-9%
Cote d'Ivoire4,453.13,593.5-859.5-19%
Croatia4,614.92,226.4-2,388.5-52%
Cuba4,213.72,368.3-1,845.4-44%
Cyprus3,524.51,771.9-1,752.6-50%
Czechia4,657.72,276.9-2,380.8-51%
Democratic Republic of Congo6,906.95,209.1-1,697.8-25%
Denmark3,301.41,496.3-1,805.1-55%
Djibouti4,738.83,449.1-1,289.7-27%
Dominica3,070.32,861.7-208.6-7%
Dominican Republic4,395.83,617.1-778.7-18%
East Timor6,377.63,262.9-3,114.7-49%
Ecuador4,974.93,464.3-1,510.6-30%
Egypt3,576.71,854.7-1,722.0-48%
El Salvador9,779.35,958.4-3,820.9-39%
Equatorial Guinea8,160.04,155.3-4,004.7-49%
Eritrea26,092.95,813.8-20,279.1-78%
Estonia7,327.92,363.6-4,964.4-68%
Eswatini6,518.46,939.9+421.5+6%
Ethiopia13,839.04,083.9-9,755.1-70%
Fiji3,195.52,616.0-579.6-18%
Finland4,493.42,354.6-2,138.8-48%
France4,170.02,134.0-2,036.0-49%
Gabon5,901.24,040.0-1,861.2-32%
Gambia3,579.23,035.6-543.6-15%
Georgia4,599.93,177.7-1,422.2-31%
Germany3,057.51,665.2-1,392.3-46%
Ghana3,644.92,852.0-792.9-22%
Greece2,889.91,752.5-1,137.4-39%
Greenland11,316.95,588.5-5,728.5-51%
Grenada4,151.52,469.8-1,681.6-41%
Guam3,024.22,396.2-628.1-21%
Guatemala8,396.44,631.3-3,765.1-45%
Guinea4,772.23,786.9-985.2-21%
Guinea-Bissau7,676.35,247.3-2,429.0-32%
Guyana5,967.65,671.6-296.0-5%
Haiti9,520.57,896.1-1,624.4-17%
Honduras6,962.24,428.1-2,534.0-36%
Hungary5,758.62,335.2-3,423.4-59%
Iceland3,015.51,832.2-1,183.3-39%
India5,348.83,426.2-1,922.6-36%
Indonesia3,688.92,124.9-1,564.0-42%
Iran10,861.02,703.3-8,157.8-75%
Iraq7,692.34,214.4-3,478.0-45%
Ireland2,774.61,471.0-1,303.6-47%
Israel2,659.91,677.1-982.9-37%
Italy3,040.01,551.0-1,488.9-49%
Jamaica2,128.82,606.2+477.3+22%
Japan2,578.61,657.5-921.1-36%
Jordan3,303.71,626.8-1,677.0-51%
Kazakhstan6,681.93,539.2-3,142.7-47%
Kenya3,282.13,008.9-273.2-8%
Kiribati3,226.32,699.3-527.0-16%
Kuwait7,203.41,539.8-5,663.6-79%
Kyrgyzstan6,176.72,892.0-3,284.7-53%
Laos6,441.83,028.1-3,413.7-53%
Latvia8,119.63,069.7-5,050.0-62%
Lebanon8,302.31,872.0-6,430.2-77%
Lesotho4,735.28,133.0+3,397.8+72%
Liberia14,059.33,309.0-10,750.2-76%
Libya4,665.64,253.7-411.9-9%
Lithuania7,117.73,338.3-3,779.4-53%
Luxembourg3,962.51,700.7-2,261.8-57%
Madagascar4,047.22,908.3-1,138.9-28%
Malawi4,954.73,398.6-1,556.1-31%
Malaysia3,283.32,395.8-887.4-27%
Maldives3,201.81,253.8-1,948.0-61%
Mali5,821.34,211.6-1,609.7-28%
Malta2,172.21,504.7-667.5-31%
Marshall Islands4,982.74,165.0-817.7-16%
Mauritania5,223.63,198.0-2,025.5-39%
Mauritius3,116.12,100.0-1,016.1-33%
Mexico5,832.34,016.1-1,816.2-31%
Micronesia (country)5,232.64,223.0-1,009.6-19%
Moldova6,762.82,980.7-3,782.0-56%
Monaco2,611.42,108.0-503.5-19%
Mongolia6,342.64,098.3-2,244.3-35%
Montenegro3,386.92,388.3-998.6-29%
Morocco5,203.82,639.4-2,564.4-49%
Mozambique6,560.14,671.6-1,888.5-29%
Myanmar6,477.23,552.1-2,925.1-45%
Namibia5,185.14,694.1-491.0-9%
Nauru6,290.75,969.3-321.4-5%
Nepal4,657.82,961.6-1,696.2-36%
Netherlands2,243.81,595.1-648.7-29%
New Zealand4,458.92,689.2-1,769.7-40%
Nicaragua4,921.92,633.5-2,288.4-46%
Niger5,700.93,798.8-1,902.1-33%
Nigeria4,258.33,032.3-1,226.1-29%
Niue3,618.44,512.8+894.4+25%
North Korea3,837.03,197.2-639.8-17%
North Macedonia3,589.91,914.7-1,675.1-47%
Northern Mariana Islands3,849.13,060.2-788.9-20%
Norway3,359.81,753.9-1,605.9-48%
Oman6,816.42,800.6-4,015.8-59%
Pakistan3,264.93,147.0-117.9-4%
Palau5,867.75,320.5-547.1-9%
Palestine4,389.62,547.2-1,842.5-42%
Panama3,953.52,749.5-1,204.1-30%
Papua New Guinea3,989.23,771.0-218.2-5%
Paraguay3,263.03,300.3+37.2+1%
Peru5,893.72,492.7-3,401.0-58%
Philippines4,438.72,709.3-1,729.4-39%
Poland4,992.42,584.5-2,408.0-48%
Portugal4,611.01,600.0-3,011.0-65%
Puerto Rico3,902.92,781.4-1,121.5-29%
Qatar4,979.22,262.3-2,716.9-55%
Romania5,592.62,727.4-2,865.3-51%
Russia7,435.24,197.5-3,237.7-44%
Rwanda9,743.04,193.6-5,549.4-57%
Saint Kitts and Nevis4,274.22,575.1-1,699.1-40%
Saint Lucia4,168.82,953.1-1,215.6-29%
Saint Vincent and the Grenadines3,892.53,290.1-602.4-15%
Samoa3,927.83,204.0-723.7-18%
San Marino2,466.91,455.3-1,011.6-41%
Sao Tome and Principe2,904.42,290.1-614.4-21%
Saudi Arabia7,476.04,718.5-2,757.5-37%
Senegal4,335.82,974.2-1,361.6-31%
Serbia4,011.02,049.5-1,961.5-49%
Seychelles3,391.51,840.7-1,550.8-46%
Sierra Leone4,508.93,538.0-970.9-22%
Singapore2,582.01,280.6-1,301.4-50%
Slovakia4,708.62,605.2-2,103.5-45%
Slovenia5,110.72,410.1-2,700.6-53%
Solomon Islands4,970.94,593.3-377.6-8%
Somalia8,443.46,578.6-1,864.8-22%
South Africa9,783.46,261.1-3,522.3-36%
South Korea5,511.72,230.8-3,280.9-60%
South Sudan5,177.66,216.4+1,038.8+20%
Spain3,202.61,493.3-1,709.3-53%
Sri Lanka7,882.72,893.5-4,989.2-63%
Sudan8,163.83,337.0-4,826.8-59%
Suriname5,453.13,985.2-1,467.9-27%
Sweden2,962.51,656.8-1,305.7-44%
Switzerland3,871.91,768.1-2,103.8-54%
Syria2,998.53,328.8+330.2+11%
Taiwan4,503.81,759.7-2,744.0-61%
Tajikistan4,346.02,527.2-1,818.8-42%
Tanzania4,480.72,910.0-1,570.7-35%
Thailand5,358.83,818.3-1,540.5-29%
Togo4,499.33,785.5-713.8-16%
Tokelau3,368.84,177.7+808.9+24%
Tonga2,897.52,188.8-708.7-24%
Trinidad and Tobago4,234.84,121.5-113.3-3%
Tunisia4,090.82,284.0-1,806.8-44%
Turkey3,522.41,655.8-1,866.6-53%
Turkmenistan4,987.82,629.0-2,358.8-47%
Tuvalu5,488.73,927.7-1,561.0-28%
Uganda4,672.63,488.9-1,183.7-25%
Ukraine6,153.53,984.8-2,168.7-35%
United Arab Emirates4,932.82,404.9-2,527.9-51%
United Kingdom2,376.71,442.5-934.2-39%
United States3,781.02,783.9-997.2-26%
United States Virgin Islands4,953.54,702.1-251.4-5%
Uruguay4,499.83,622.5-877.3-19%
Uzbekistan4,638.32,614.7-2,023.6-44%
Vanuatu4,075.33,784.5-290.7-7%
Venezuela5,193.66,675.6+1,481.9+29%
Vietnam4,961.83,239.9-1,721.9-35%
Yemen7,282.17,634.8+352.7+5%
Zambia5,088.63,809.8-1,278.8-25%
Zimbabwe3,757.44,922.6+1,165.2+31%
Other
African Region (WHO)6,547.83,899.2-2,648.6-40%
Americas (WHO)4,980.33,523.5-1,456.7-29%
East Asia & Pacific (WB)4,920.02,419.7-2,500.2-51%
Eastern Mediterranean (WHO)5,813.03,720.6-2,092.4-36%
Europe & Central Asia (WB)4,771.32,497.6-2,273.7-48%
European Region (WHO)4,755.22,487.7-2,267.4-48%
High-income countries3,806.22,290.2-1,516.0-40%
Latin America & Caribbean (WB)5,809.63,894.6-1,915.1-33%
Low-income countries7,136.34,526.4-2,609.9-37%
Lower-middle-income countries5,300.43,228.0-2,072.4-39%
Middle East & North Africa (WB)6,345.83,131.0-3,214.8-51%
North America (WB)3,710.72,698.9-1,011.9-27%
South Asia (WB)5,204.53,444.8-1,759.7-34%
South-East Asia (WHO)5,125.43,100.4-2,025.0-40%
Sub-Saharan Africa (WB)6,694.33,987.7-2,706.6-40%
Upper-middle-income countries5,385.92,877.7-2,508.3-47%
Western Pacific (WHO)5,030.12,357.0-2,673.0-53%
World5,221.13,101.3-2,119.9-41%
Data

DALY rates from injuries

See all data and research on:
Global HealthCauses of Death

About this data

DALY rates from injuries
The estimated number of age-standardized from injuries, per 100,000 people.
Source
IHME, Global Burden of Disease (2024) – with minor processing by Our World in Data
Last updated
May 20, 2024
Next expected update
May 2028
Date range
1990–2021
Unit
DALYs per 100,000 people

Related research and writing

A dark blue background with a lighter blue world map superimposed over it. Yellow text that says Burden of Disease by Our World in Data

Burden of Disease

Max Roser, Hannah Ritchie and Fiona Spooner

Sources and processing

This data is based on the following sources

The Global Burden of Disease (GBD) study provides a comprehensive assessment of global health trends. This dataset contains the death and DALY counts and rates for 371 diseases and injuries.

Retrieved on
May 20, 2024
Retrieved from
https://vizhub.healthdata.org/gbd-results/
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
"Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2021 (GBD 2021). Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2024. Available from https://vizhub.healthdata.org/gbd-results/."

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Citations

How to cite this page

To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:

“Data Page: DALY rates from injuries”, part of the following publication: Esteban Ortiz-Ospina and Max Roser (2016) - “Global Health”. Data adapted from IHME, Global Burden of Disease. Retrieved from https://ourworldindata.org/grapher/burden-of-disease-rates-from-injuries [online resource]
How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

IHME, Global Burden of Disease (2024) – with minor processing by Our World in Data

Full citation

IHME, Global Burden of Disease (2024) – with minor processing by Our World in Data. “DALY rates from injuries” [dataset]. IHME, Global Burden of Disease, “Global Burden of Disease - Deaths and DALYs” [original data]. Retrieved April 4, 2025 from https://ourworldindata.org/grapher/burden-of-disease-rates-from-injuries

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